Service-Oriented Computing: State of the Art and Research Challenges

By M. Papazoglou, Paolo Traverso, Schahram Dustdar, Frank Leymann. Computer, 2007

1,565 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems, Management Information Systems

View Paper: https://www.semanticscholar.org/paper/4313c51296a9ba2fed56d4e3c6fd01a394e2f6d6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Christian Becker
2. Paul P. Maglio
3. Florian Rosenberg
4. Hailong Sun
5. Raj Jain
6. Schahram Dustdar
7. Gregor Schiele
8. Mohammed Samaka

In Information Systems

1. Christian Becker
2. Paul P. Maglio
3. Florian Rosenberg
4. D. Karagiannis
5. Hailong Sun
6. Raj Jain
7. Schahram Dustdar
8. Gregor Schiele

In Management Information Systems

1. Robert J. Kauffman
2. D. Karagiannis

Citations in the corpus

• Evaluating the monolithic and the microservice architecture pattern to deploy web applications in the cloud (2015, methodology): “To scale the application, the architecture requires the use of a load balancer, several web servers where the application codebase is deployed, and a relational database to store information.”
• Service-oriented technology and management: Perspectives on research and practice for the coming decade (2008, background): “Periodic gap analysis also is required to verify that the business process and service mapping strategies effectively tie into the reference models (Papazoglou et al., 2007).”
• Temporal QoS-aware web service recommendation via non-negative tensor factorization (2014, background): “Quality-of-Service (QoS) encompasses important nonfunctional attributes such as performance metrics (e.g., response time), Figure 1: A motivating scenario security attributes, transactional integrity, reliability, scalability, and availability [18].”
• A survey on service function chaining (2016, background): “In the proposed solution, CSPs collect the users’ bids and the resource distribution is done among K-highest bidders.”
• Non-intrusive monitoring and service adaptation for WS-BPEL (2008, background): “The IAL provides a bidirectional interface for the engine adapter (5a) to tap the communication be­tween the invoke activity (2b) and the SOAP engine (10).”
• A survey on engineering approaches for self-adaptive systems (2015, background): “In Service-Oriented Computing (SOC) such services are used to ”support the development of rapid, low-cost, interoperable, evolvable, and massively distributed applications” [163].”